Regional reference variation provides ecologically meaningful protection criteria for northern World Heritage Site
Bibliographic record
Abstract
Unprecedented rates of resource development and climate change at northern latitudes coupled with a lack of baseline information limits our ability to set ecologically meaningful criteria needed to protect these inherently sensitive ecosystems. We surveyed water and sediment chemistry, community composition of benthic algae and invertebrates and fish, and condition of a sentinel fish species, slimy sculpin (Cottus cognatus), in 2 rivers adjacent to metal mines and in 20 reference rivers in the headwaters of a World Heritage Site, the South Nahanni River Basin, NWT, Canada. The normal range (i.e., mean ± 2 standard deviations) of biological conditions in regional reference sites (grouped by community type) were used to set ecologically meaningful effect sizes. These effect sizes were used in noncentral hypotheses tests to assess the ecological condition of potentially impaired sites. Significant impairments at sites influenced by current and historical mining activity were indicative of mild enrichment (e.g., increased benthic abundance and sculpin condition) and bioaccumulation of metals (e.g., increased concentrations of Cu and Fe in muscle tissue of sculpin). Comparisons between our regional reference study and a concurrent upstream–downstream study showed that the sensitivity of biological endpoints was typically related to the impairment criteria used and not to the type of study design. Concentrations of metals such as Al, Cu, and Fe in river water at reference sites were above federal and regional guidelines, suggesting that these guidelines are not appropriate for the metal-rich headwaters of the South Nahanni River. The ephemerellid mayflies Drunella spinifera and Ephemerella maculata were present in 4 of our study sites; their occurrence had not previously been documented in the Yukon or Northwest Territories. Our results confirmed that the lack of baseline information on the physiochemical and biological composition of northern rivers is hampering our ability to evaluate changes in these understudied ecosystems. However, the use of noncentral hypotheses tests based on empirically derived effect sizes enabled us to develop ecologically meaningful protection criteria, maintain statistical rigor, and provide probabilities of impairment that can be used directly in risk assessment.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".